ITF · ELO ESTIMATE · 2026-07-22

S. Shin vs Y. Charoenphonprediction

M15 Bali
✓ Correct
SHINWIN PROBABILITYCHAROENPHON
82%
Elo prob.
@1.03
odds · 97% impl.
Rest 14d vs 2d📈Form 7/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1654 vs 1391 — favorite by rating

ITF tier · 221 matches in the favorite's track record

Elo estimate (not the ATP factor model): these are softer, less-analyzed markets

WATCH FOR

!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.

Tour Elo estimate (Challenger/ITF markets, not covered by the factor model). The value edge here is unproven live — it's a reference, not a recommendation. 18+ · gamble responsibly.
@1.22
fair odds
−15.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Shin●●●
Shin's 1654 Elo vs Charoenphon's 1391 drives the model's 82%-18% split, a clear rating gap in this soft ITF pool.
Form▸ Shin●●
Shin is 7-3 over his last 10 (WWLWWWWLLW) versus Charoenphon's 4-6 (WLWLLLLWLW), though both are on a single-match win streak.
Rest▸ Shin
Shin has 14 days off vs Charoenphon's 2, giving him fresher legs, though rest gaps matter less at ITF best-of-three level.
Market/Value= Even●●●
Market implies 97% for Shin at 1.03 odds vs the model's 82%, yielding a -15.6% EV — no backable edge here.
ELO GAP

The core driver of this line is the rating differential: Shin's 1654 Elo sits 263 points above Charoenphon's 1391, and in the Elo framework that translates directly into the model's 82%-18% probability split. This is a soft Challenger/ITF Elo estimate rather than a fully modeled ATP-tier forecast, so it should be read as a rough class gap rather than a precise probability.

There is no surface, serve/return, or head-to-head data available to sharpen this picture, so the Elo gap is effectively the whole analytical foundation for the favorite tag.

FORM CONTRASTS

Recent form supports the Elo read rather than contradicting it. Shin has won 7 of his last 10 matches, while Charoenphon has won only 4 of 10 over the same stretch. Both players currently sit on a one-match win streak, so neither is riding hot momentum into this match, but Shin's underlying week-to-week consistency has been stronger.

No quality-win data is listed for either player, so this form read is based purely on the win-loss pattern, not on the caliber of opponents beaten.

REST DIFFERENTIAL

Shin arrives with 14 days since his last match against Charoenphon's 2 days, a sizable rest gap that should leave Shin physically fresher. At the ITF M15 level, matches are typically best-of-three, so fatigue effects are usually smaller than in five-set formats, which caps how much weight this factor deserves.

Charoenphon's tighter turnaround (2 days, 1 match in the last 14) is not extreme enough on its own to flag heavy schedule congestion, so this remains a minor tilt toward Shin rather than a major concern.

VALUE READ

Being the favorite is not the same as being a value bet. The model's 82% probability for Shin already trails the market's implied 97% at 1.03 odds, producing a projected -15.6% expected value. That gap means the market is pricing this match as an even bigger mismatch than the Elo model does.

This is also worth flagging as a soft market: Challenger/ITF Elo-based probabilities are less rigorously tested than tour-level factor models, so treat both the 82% figure and the negative EV as directional estimates, not proven edges. On the numbers presented, there is no case for backing this line for value — only for expecting Shin to be the more probable winner.

Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.

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